2025
Adaptive Meta-Path Selection Based Heterogeneous Spatial Enhancement for circRNA-Disease Associations Prediction.
IEEE J. Biomed. Health Informatics, May, 2025
NLA-GNN: Non-local information aggregated graph neural network for heterogeneous graph embedding.
Pattern Recognit., 2025
Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion.
Neural Networks, 2025
Potential Knowledge Extraction Network for Class-Incremental Learning.
Neurocomputing, 2025
Tagging knowledge concepts for math problems based on multi-label text classification.
Expert Syst. Appl., 2025
2024
A Trustworthy Counterfactual Explanation Method With Latent Space Smoothing.
IEEE Trans. Image Process., 2024
Resource-aware Montgomery modular multiplication optimization for digital signal processing.
J. Syst. Archit., 2024
Joint Weakly Supervised Image Emotion Analysis Based on Interclass Discrimination and Intraclass Correlation.
IEEE Intell. Syst., 2024
KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images.
Eng. Appl. Artif. Intell., 2024
Adaptive meta-knowledge transfer network for few-shot object detection in very high resolution remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2024
MVESF: Multi-View Enhanced Semantic Fusion for Controllable Text-to-Image Generation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Enhanced Slicing Prototype and Hybrid Metric Transformer for Few-shot Medical Image Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
DLE: Document Illumination Correction with Dynamic Light Estimation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Self-supported Prototype Rectification for Few-shot Medical Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024
HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024
CausVSR: Causality Inspired Visual Sentiment Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A novel inference paradigm based on multi-view prototypes for one-shot semantic segmentation.
Appl. Intell., November, 2023
Editorial: Deep neural network based decision-making interpretability.
Frontiers Comput. Neurosci., February, 2023
Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps.
Displays, January, 2023
Multi-relation global context learning for session-based recommendation.
Data Technol. Appl., 2023
When Source-Free Domain Adaptation Meets Label Propagation.
CoRR, 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Geometric Contrastive Learning for Heterogeneous Graphs Encoding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Class-Balanced Universal Perturbations for Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2023
Making Adversarial Attack Imperceptible in Frequency Domain: A Watermark-based Framework.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Adaptive weight multi-channel center similar deep hashing.
J. Vis. Commun. Image Represent., 2022
Implicit user relationships across sessions enhanced graph for session-based recommendation.
Inf. Sci., 2022
Multi-strategy mutual learning network for deformable medical image registration.
Neurocomputing, 2022
Semi-Supervised Representative Region Texture Extraction of Façade.
CoRR, 2022
AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network.
Comput. Biol. Medicine, 2022
When Adversarial Example Attacks Meet Vertical Federated Learning.
Proceedings of the IEEE Smartworld, 2022
t-PSI: Efficient Multi-party Private Set Intersection with Threshold.
Proceedings of the IEEE Smartworld, 2022
CBPGM: A Cache Based Piecewise Geometric Model Index.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon.
Proceedings of the International Joint Conference on Neural Networks, 2022
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Attention 3D Fully Convolutional Neural Network for False Positive Reduction of Lung Nodule Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
FedCo: Self-Supervised Learning in Federated Learning with Momentum Contrast.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering network.
Neurocomputing, 2021
Debiased Prototype Network for Adversarial Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2021
Embedding Bottleneck Gated Recurrent Unit Network for Radar Signal Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021
Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2021
Generating Adversarial Examples by Distributed Upsampling.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Sample Efficient Lung Segmentation Using Group Structured Conditional Variational Data Imputation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DCFG: Discovering Directional CounterFactual Generation for Chest X-rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
LMDAPNet: A Novel Manifold-Based Deep Learning Network.
IEEE Access, 2020
A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans.
IEEE Access, 2020
A Review of Hashing Methods for Multimodal Retrieval.
IEEE Access, 2020
A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Edge-Boosted U-Net for 2D Medical Image Segmentation.
IEEE Access, 2019
Physiological Function Assessment Based on Kinect V2.
IEEE Access, 2019
Density Map Estimation for Crowded Chicken.
Proceedings of the Image and Graphics - 10th International Conference, 2019
Stacking-based deep neural network for Facial Expression Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Automatic Epileptic Seizure Detection via Attention-Based CNN-BiRNN.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Emotion Recognition from Children Speech Signals Using Attention Based Time Series Deep Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Adaptive Discrete Hypergraph Matching.
IEEE Trans. Cybern., 2018
Multimodal Medical Image Registration Based on Feature Spheres in Geometric Algebra.
IEEE Access, 2018
Supplementary Virtual Keypoints of Weight-Based Correspondences for Occluded Object Tracking.
IEEE Access, 2018
Physiological Function Assessment Based on RGB-D Camera.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018
Family shopping recommendation system using behavior sequence data and user profile.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
Predictive hand gesture classification for real time robot control.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Space-decomposition based 3D fuzzy control design for nonlinear spatially distributed systems with multiple control sources using multiple single-output SVR learning.
Appl. Soft Comput., 2017
Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images.
IEEE Access, 2017
Action recognition based on depth image sequence.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification.
IEEE Trans. Multim., 2016
Task-Driven Progressive Part Localization for Fine-Grained Object Recognition.
IEEE Trans. Multim., 2016
Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method.
Biomed. Signal Process. Control., 2016
Automatic fall detection of human in video using combination of features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Automated human physical function measurement using constrained high dispersal network with SVM-linear.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Facial expression recognition based on LLENet.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
A deep tongue image features analysis model for medical application.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Prediction of neonatal amplitude-integrated EEG based on LSTM method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Classification of tongue images based on doublet and color space dictionary.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Effective identification and localization of immature precursors in bone marrow biopsy.
Medical Biol. Eng. Comput., 2015
Lasso Screening for Object Categories Recognition Using Multi-directional Context Features.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015
2013
Combining watersheds and conditional random fields for image classification.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
2011
Data-driven based 3-D fuzzy logic controller design using nearest neighborhood clustering and linear support vector regression.
Proceedings of the FUZZ-IEEE 2011, 2011
Simultaneous perturbation stochastic approximation based scaling factor tuning for 3-D fuzzy logic controller.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
BIBO Stability of Spatial-temporal Fuzzy Control System.
Proceedings of the Life System Modeling and Intelligent Computing, 2010
Improved methods for detecting main components of heart sounds.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Particle swarm optimization based scaling factor tuning for 3-D fuzzy logic controller.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Detecting immature precursor cells in pathological images of bone marrow based on morphology.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
A New Method Assessing Signal Regularity.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2006
Ultrasonic Liver Discrimination Using 2-D Phase Congruency.
IEEE Trans. Biomed. Eng., 2006
2005
Texture Classification Based on the Fractal Performance of the Moment Feature Images.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005